If you’ve watched your child stumble over words like “suede” or “yacht” while reading aloud, you know that some words are simply harder than others. You’re not imagining things—English spelling is notoriously inconsistent, and until now, teachers have had limited guidance on exactly which words present the greatest challenges for developing readers. New research from the University of Connecticut provides the clearest picture yet of how children navigate word difficulty, giving educators and families powerful new tools to support reading development.
Researchers Map Nearly 10,000 Words by Difficulty
The Developmental English Lexicon Project (d-ELP), co-led by Laura Steacy, an associate professor at UConn’s Neag School of Education, has created a publicly available database rating the difficulty of 9,961 of the most frequently printed English words for American children. The resource places each word on a continuous difficulty scale, paired with detailed characteristics that influence reading success.
The research team collected word-reading data from approximately 2,000 children in grades one through five across multiple U.S. schools. Crucially, the study intentionally included a broad range of reading abilities and oversampled students who are developing their reading skills, including those building foundational decoding abilities.
Funded by the National Institutes of Health through a Learning Disabilities Hub grant involving UConn, Florida State University, and Hebrew University of Jerusalem, the d-ELP represents the most comprehensive resource to date showing how English-speaking children read individual words.
New database maps 10,000 words by difficulty for developing readers. Finally, science-backed guidance on exactly which words challenge children—and why.
Why Word Difficulty Matters for Reading Development
English presents unique challenges because its spelling system is described as “quasi-regular”—meaning relationships between letters and sounds are systematic but riddled with inconsistencies. Words like “suede” and “yacht” require multiple decoding strategies, and some words are simply harder for children to learn than others. Until now, educators lacked detailed data on exactly which words create the greatest challenges and why.
The d-ELP helps fill this gap by allowing teachers, school leaders, educational publishers, and policymakers to match reading materials to student needs with unprecedented precision. Understanding how reading differences affect word recognition helps educators target instruction more effectively rather than guessing which words might be challenging.
“English has a lot of inconsistency between print and speech,” Steacy explains. “The d-ELP helps us see which words are particularly challenging and why.”
English has a lot of inconsistency between print and speech. The d-ELP helps us see which words are particularly challenging and why.
Laura Lurns · Learning Success expert
Practical Applications for Teachers and Parents
The database was designed with practical use in mind. Teachers can select words by difficulty level, spelling patterns, or morphology to plan targeted instruction or assessments. This allows educators to support students with specific decoding challenges and design appropriate materials matched to each child’s developing skills.
The research reveals how characteristics like spelling patterns, word roots, prefixes, suffixes, and sound structure complexity predict reading behavior. This scientific understanding of reading development provides actionable guidance for anyone helping children become confident readers.
“We aimed for a user-friendly resource,” Steacy says. “It can support students with specific decoding struggles and help teachers design appropriate materials.”
Key takeaways
- Nearly 10,000 Words Rated: The new d-ELP database places English words on a continuous difficulty scale based on data from 2,000 students across grades one through five.
- Practical Tool for Educators: Teachers can select words by difficulty, spelling patterns, or morphology to create targeted instruction matched to each student's developing skills.
- Research Supports All Learners: The study intentionally included students developing reading skills, providing insights that benefit children at every level of reading development.
Building on a Foundation for Reading Success
The d-ELP is an open resource, and the research team welcomes suggestions for expansion. Future directions may include additional instructional tools and linguistic features as educators, researchers, and other stakeholders begin using the database and providing feedback.
For parents supporting children who are developing their reading skills, this research reinforces a powerful truth: reading is not about innate talent—it’s about systematic skill-building with the right tools and approaches. Programs like the 5-Minute Reading Fix build on this same understanding that targeted, consistent practice with appropriately challenging words strengthens neural pathways for reading success.
“Understanding what makes words difficult—and how to support children—is essential,” Steacy says. “I hope this project will be a valuable tool for teachers and anyone helping children become confident readers.”
Every child can become a confident reader when given the right tools and support. Research like this reminds us that the brain is remarkably adaptable—neural pathways for reading develop through systematic practice, not through labels or limitations. While the system that sorts and categorizes children often fails to develop their capabilities, parents remain their child’s most powerful teachers. If you’re ready to support your child’s reading development with approaches grounded in this same neuroscience, the Learning Success All Access Program offers a free trial that includes a personalized Action Plan—and you keep that plan even if you decide it’s not the right fit.
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References
- UConn Today - New Developmental English Lexicon Database Reveals How Children Learn to Read
- Florida Center for Reading Research - Developmental English Lexicon Project
